Multilingual Text Categorization

Name: Multilingual Text Categorization
Brand: Noor Publishing
SKU: 9786202343053
Price: 288.1 RON
Availability: InStock

(Based on Machine Learning Algorithms and Ontologies)

Autor: Said Gadri

Limbă:

Legare: Carte broșată

Editura: Noor Publishing

Disponibilitate: În depozitul extern

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Text categorization is an important task in text mining process that consists in assigning a set of...

Informații despre carte

Autor

Said Gadri

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

260

EAN

9786202343053

Enbook ID

18181027

Editura

Noor Publishing

Greutate

405

Dimensiuni

150 x 220 x 16

Descriere completă

Text categorization is an important task in text mining process that consists in assigning a set of texts to a set of predefined categories based on learning algorithms. There exist two kinds of text categorization: monolingual and multilingual text categorization. The main problematic of this manuscript is how to exploit concepts and algorithms of machine learning in contextual categorization of multilingual texts. Our study on this subject allowed us to propose many solutions and provide many contributions, notably: (1) a simple, fast and effective algorithm to identify the language of a text in multilingual corpus. (2) An improved algorithm for Arabic stemming based on a statistical approach. Its main objective is to reduce the size of term vocabulary and thus increase the quality of the obtained categorization in TC and the effectiveness of search in IR. (3) A new multilingual stemmer which is general and completely independent of any language. (4) Application of new panoply of pseudo-distances to categorize texts of a big corpus such as Reuters21578 collection. All these solutions were the subject of many academic papers published in international conferences and journals.

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Multilingual Text Categorization

(Based on Machine Learning Algorithms and Ontologies)

Informații despre carte

Descriere completă

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